An Efficient Union Approach to Mining Closed Large Itemsets in DNA Microarray Datasets
A DNA microarray is a very good tool to study the gene expression level in different situations. Mining association rules in DNA microarray datasets can help us know how genes affect each other, and what genes are usually co-expressed.
Lee, Li-Wen
core
Sliding window based rare partial periodic pattern mining algorithms over temporal data streams. [PDF]
Upadhya KJ +7 more
europepmc +1 more source
Multi-level high utility-itemset hiding. [PDF]
Nguyen LTT, Duong H, Mai A, Vo B.
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Ontology-driven association rule mining for biomedical entity relationships: integrating hierarchical knowledge to improve gene-disease discovery. [PDF]
Naqash MA +7 more
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Temporal Evolution of the Profile of Patients Hospitalized with Heart Failure (2000-2022). [PDF]
Seoane-Pillado T +5 more
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Research on rapid construction methods and evaluation of health education resources in public health emergencies based on knowledge development. [PDF]
Huang R, Zou Y, Zhou L, Jiang T.
europepmc +1 more source
Approaches to text mining for analyzing treatment plan of quit smoking with free-text medical records: A PRISMA-compliant meta-analysis. [PDF]
Huang HL, Hong SH, Tsai YC, Tsai YC.
europepmc +1 more source
Novel architecture for gated recurrent unit autoencoder trained on time series from electronic health records enables detection of ICU patient subgroups. [PDF]
Merkelbach K +4 more
europepmc +1 more source
Development of targeted safety hazard management plans utilizing multidimensional association rule mining. [PDF]
Qiang X, Li G, Sari YA, Fan C, Hou J.
europepmc +1 more source
FCILINK: Mining Frequent Closed Itemsets Based on a Link Structure between Transactions
The problem of discovering association rules between items in a database is an emerging area of research. Its goal is to extract significant patterns or interesting rules from large databases.
Kyong Rok Han, Jae Yearn Kim
core

